BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
7/19/2018 7:04:34 AM | Browse: 1062 | Download: 2492
 |
Received |
|
2018-04-14 09:48 |
 |
Peer-Review Started |
|
2018-04-14 12:50 |
 |
First Decision by Editorial Office Director |
|
2018-05-17 00:25 |
 |
Return for Revision |
|
2018-05-21 08:12 |
 |
Revised |
|
2018-06-15 07:45 |
 |
Publication Fee Transferred |
|
|
 |
Second Decision by Editor |
|
2018-06-25 09:55 |
 |
Second Decision by Editor-in-Chief |
|
|
 |
Final Decision by Editorial Office Director |
|
2018-06-25 19:13 |
 |
Articles in Press |
|
2018-06-25 19:13 |
 |
Edit the Manuscript by Language Editor |
|
|
 |
Typeset the Manuscript |
|
2018-07-18 02:47 |
 |
Publish the Manuscript Online |
|
2018-07-19 07:04 |
| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Observational Study |
| Article Title |
Long-term outcomes of endoscopic resection for small (≤ 4.0 cm) gastric gastrointestinal stromal tumors originating from the muscularis propria layer
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Yu Zhang, Xinli Mao, XB Zhou, Hai Yang, Lin-Hong Zhu, Guang Chen and Li-Ping Ye |
| ORCID |
|
| Funding Agency and Grant Number |
|
| Corresponding Author |
Li-Ping Ye, BM BCh, MBBS, Chief Doctor, Professor, Department of Gastroenterology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, 150 Ximen Street, Linhai 317000, Zhejiang Province, China. xmcx783@126.com |
| Key Words |
Endoscopic resection; Endoscopic full-thickness resection; Submucosal tunneling endoscopic resection; Gastric gastrointestinal stromal tumors; Long-term outcomes |
| Core Tip |
The long-term effectiveness of endoscopic resection for small (≤ 4.0 cm) gastric gastrointestinal stromal tumors originating from the muscularis propria layer (MP-GISTs) still remains debatable. In our study, we included a larger sample size with a longer follow-up period to assess the long-term safety and efficacy of ER for gastric MP-GIST. Long-term outcomes showed 225 patients were actively followed-up until composition of this manuscript. The remaining 4 patients were lost because of unrelated death. During the follow-up period (median, 57 mo), no residual, recurrent lesions, or distant metastasis were detected in any patients. Endoscopic resection seems to be an effective and safe method for gastric MP-GISTs ≤ 4.0 cm, and, for some intermediate or high risk GISTs, adjuvant therapy and/or additional surgery might be required to reduce the risk of recurrence or metastasis. |
| Publish Date |
2018-07-19 07:04 |
| Citation |
Zhang Y, Mao XL, Zhou XB, Yang H, Zhu LH, Chen G, Ye LP. Long-term outcomes of endoscopic resection for small (≤ 4.0 cm) gastric gastrointestinal stromal tumors originating from the muscularis propria layer. World J Gastroenterol 2018; 24(27): 3030-3037 |
| URL |
http://www.wjgnet.com/1007-9327/full/v24/i27/3030.htm |
| DOI |
http://dx.doi.org/10.3748/wjg.v24.i27.3030 |
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.